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最新评论
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不要叫我杨过:
受教了,高手
Heritrix架构分析 -
springaop_springmvc:
apache lucene开源框架demo使用实例教程源代码下 ...
Lucene 3.0.2 使用入门 -
zxw961346704:
值得学习的算法
Java 计算器 -
medicine:
Thread.sleep(1000); 会使线程进入 TIM ...
Java.lang.Thread 和 Java.lang.ThreadGroup -
tangzlboy:
嗯,不错!收藏。
Java 入门
在Lucene 3.0.2中,在Field 、 Document 和 Query中都有setBoost接口,但是为什么在Query中设置boost值,在搜索结果中却没有任何变化呢?求高人指教啊。。。 代码如下:
在没有query.setBoost(2);的情况下,结果如下:
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
1.0
thinking in java 0.625
0.625 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
0.625 = fieldNorm(field=bookname, doc=0)
在有query.setBoost(2);的情况下,结果如下:
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
1.0
thinking in java 0.625
0.625 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
0.625 = fieldNorm(field=bookname, doc=0)
在Field和Document中setBoost的值,在搜索结果中是有变化的。(因为Field都相同,没有进行尝试,但和Document一样,都是将boost值设置到了索引中)。代码如下:
在没有doc1.setBoost(4);这一行的时候,结果如下:
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
1.0
thinking in java 0.625
0.625 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
0.625 = fieldNorm(field=bookname, doc=0)
在有doc1.setBoost(4);这一行的时候,结果如下:
1.0
thinking in java 2.5
2.5 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
2.5 = fieldNorm(field=bookname, doc=0)
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
package com.eric.lucene; import org.apache.lucene.analysis.standard.StandardAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.index.IndexWriter; import org.apache.lucene.index.Term; import org.apache.lucene.search.IndexSearcher; import org.apache.lucene.search.Query; import org.apache.lucene.search.ScoreDoc; import org.apache.lucene.search.TermQuery; import org.apache.lucene.search.TopScoreDocCollector; import org.apache.lucene.store.Directory; import org.apache.lucene.store.RAMDirectory; import org.apache.lucene.util.Version; public class ScoreSortTest { public static void main(String[] args) throws Exception { Directory dir = new RAMDirectory(); IndexWriter writer = new IndexWriter(dir, new StandardAnalyzer(Version.LUCENE_30), true, IndexWriter.MaxFieldLength.LIMITED); Document doc1 = new Document(); Document doc2 = new Document(); Document doc3 = new Document(); doc1.add(new Field("bookname","thinking in java", Field.Store.YES, Field.Index.ANALYZED)); doc2.add(new Field("bookname","thinking in java java java", Field.Store.YES, Field.Index.ANALYZED)); doc3.add(new Field("bookname","thinking in c++", Field.Store.YES, Field.Index.ANALYZED)); writer.addDocument(doc1); writer.addDocument(doc2); writer.addDocument(doc3); writer.optimize(); writer.close(); IndexSearcher searcher = new IndexSearcher(dir); Query query = new TermQuery(new Term("bookname","java")); // query.setBoost(2); TopScoreDocCollector collector = TopScoreDocCollector.create(100, false); searcher.search(query, collector); ScoreDoc[] hits = collector.topDocs().scoreDocs; for(int i=0; i<hits.length;i++){ Document doc = searcher.doc(hits[i].doc); System.out.println(doc.getBoost()); System.out.print(doc.get("bookname") + "\t\t"); System.out.println(hits[i].score); System.out.println(searcher.explain(query, hits[i].doc)); } } }
在没有query.setBoost(2);的情况下,结果如下:
引用
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
1.0
thinking in java 0.625
0.625 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
0.625 = fieldNorm(field=bookname, doc=0)
在有query.setBoost(2);的情况下,结果如下:
引用
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
1.0
thinking in java 0.625
0.625 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
0.625 = fieldNorm(field=bookname, doc=0)
在Field和Document中setBoost的值,在搜索结果中是有变化的。(因为Field都相同,没有进行尝试,但和Document一样,都是将boost值设置到了索引中)。代码如下:
package com.eric.lucene; import org.apache.lucene.analysis.standard.StandardAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.index.IndexWriter; import org.apache.lucene.index.Term; import org.apache.lucene.search.IndexSearcher; import org.apache.lucene.search.Query; import org.apache.lucene.search.ScoreDoc; import org.apache.lucene.search.TermQuery; import org.apache.lucene.search.TopScoreDocCollector; import org.apache.lucene.store.Directory; import org.apache.lucene.store.RAMDirectory; import org.apache.lucene.util.Version; public class ScoreSortTest { public static void main(String[] args) throws Exception { Directory dir = new RAMDirectory(); IndexWriter writer = new IndexWriter(dir, new StandardAnalyzer(Version.LUCENE_30), true, IndexWriter.MaxFieldLength.LIMITED); Document doc1 = new Document(); Document doc2 = new Document(); Document doc3 = new Document(); doc1.add(new Field("bookname","thinking in java", Field.Store.YES, Field.Index.ANALYZED)); doc1.setBoost(4); doc2.add(new Field("bookname","thinking in java java java", Field.Store.YES, Field.Index.ANALYZED)); doc3.add(new Field("bookname","thinking in c++", Field.Store.YES, Field.Index.ANALYZED)); writer.addDocument(doc1); writer.addDocument(doc2); writer.addDocument(doc3); writer.optimize(); writer.close(); IndexSearcher searcher = new IndexSearcher(dir); Query query = new TermQuery(new Term("bookname","java")); TopScoreDocCollector collector = TopScoreDocCollector.create(100, false); searcher.search(query, collector); ScoreDoc[] hits = collector.topDocs().scoreDocs; for(int i=0; i<hits.length;i++){ Document doc = searcher.doc(hits[i].doc); System.out.println(doc.getBoost()); System.out.print(doc.get("bookname") + "\t\t"); System.out.println(hits[i].score); System.out.println(searcher.explain(query, hits[i].doc)); } } }
在没有doc1.setBoost(4);这一行的时候,结果如下:
引用
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
1.0
thinking in java 0.625
0.625 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
0.625 = fieldNorm(field=bookname, doc=0)
在有doc1.setBoost(4);这一行的时候,结果如下:
引用
1.0
thinking in java 2.5
2.5 = (MATCH) fieldWeight(bookname:java in 0), product of:
1.0 = tf(termFreq(bookname:java)=1)
1.0 = idf(docFreq=2, maxDocs=3)
2.5 = fieldNorm(field=bookname, doc=0)
1.0
thinking in java java java 0.8660254
0.8660254 = (MATCH) fieldWeight(bookname:java in 1), product of:
1.7320508 = tf(termFreq(bookname:java)=3)
1.0 = idf(docFreq=2, maxDocs=3)
0.5 = fieldNorm(field=bookname, doc=1)
发表评论
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apache-solr 使用
2010-11-22 11:39 991Solr是一个独立的企业级搜索应用服务器,它对外提供类似于We ... -
HTML Parser 使用 例子
2010-11-22 11:36 1311htmlparser是一个纯的java写的html解析的库,它 ... -
IK Analyzer Demo
2010-11-17 20:39 1240IK Analyzer 分词器的使用Demo,也是看了我一个朋 ... -
Lucene 3.0.2 代码 分析
2010-11-16 15:19 5319持续更新1 Document 和 Field2 IndexWr ... -
Heritrix 抓取 高级篇
2010-11-16 10:32 5044使用Heritrix进行抓取网页,有半天阅读我之前博客的话,很 ... -
Lucene 3.0.2 使用入门
2010-11-15 20:15 2630最近在做一个大作业,主要是用到Heritrix 1.14.4 ... -
网络信息体系结构作业 2
2010-11-07 11:06 889内容:Inverted Index and Retrieval ... -
前三章的练习题
2010-11-06 10:19 923下面是前三章的习题 -
网络信息体系结构 内容
2010-11-01 16:47 9001.背景知识要求 线性代数,概率论和数理统计 ... -
网络信息体系结构作业1
2010-10-19 10:19 1910要求如下: 内容:crawler和graph link an ... -
heritrix多线程抓取--好使
2010-10-19 10:08 3003最近作业中有个需要用Heritrix抓包的任务,不过抓起来,我 ... -
Heritrix架构分析
2010-10-09 17:02 4288通过简单的抓取演示,有必要对Heritrix框架的架构进行一些 ... -
Web Crawler的体系结构
2010-10-09 11:28 1593以下三张图片说明了网络爬虫的体系结构。 -
Heritrix使用入门
2010-10-08 14:43 1828通过第一篇的Eclipse配置 ... -
Eclipse 配置 Heritrix 1.14.4
2010-10-05 15:37 4199在其他帖子上看到有Eclipse 配置 Heritrix 1. ...
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